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채용JPMorgan Chase

Lead Software Engineer – Cloud Quality Engineering – Java / AWS

JPMorgan Chase

Lead Software Engineer – Cloud Quality Engineering – Java / AWS

JPMorgan Chase

New York, NY, United States, US

·

On-site

·

Full-time

·

3mo ago

필수 스킬

Python

Java

AWS

Docker

Kubernetes

Git

Kafka

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Vice President, Software Engineer at JPMorgan Chase within the Cloud Quality Engineering team, you will promote the strategy, execution, and delivery of automated quality solutions for our cloud-native platforms.

Job Responsibilities

  • Lead and inspire a team of software and QA engineers, fostering a culture of innovation, collaboration, and continuous improvement.
  • Define and execute the quality engineering strategy for cloud-native applications, aligning with firmwide technology goals.
  • Architect and oversee the development of automated test frameworks and solutions using Java and Spring Boot.
  • Drive adoption of service virtualization (Wiremock, Hoverfly, Lisa) and REST API test automation across the organization.
  • Guide technical delivery for UI/mobile automation, database, ETL, and batch testing processes.
  • Integrate AWS services (EC2, S3, Lambda, etc.) and Kafka messaging into enterprise automation pipelines.
  • Establish performance testing standards and oversee execution using JMeter, Blaze Meter, or similar tools.
  • Partner with senior stakeholders in Technology and Business to embed automation into CI/CD workflows and deliver high-quality solutions.
  • Represent the team in technical forums, contributing to best practices and technology strategy across the firm.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification in Software Engineering concepts and 5+ years applied experience, with a focus on automation, cloud, and quality.
  • Demonstrated leadership experience managing engineering teams and driving strategic initiatives.
  • Deep expertise in Java (Spring Boot), AWS cloud services, and REST API automation.
  • Experience with service virtualization tools (Wiremock, Hoverfly, Lisa).
  • Experience with one or more of the following: Kafka messaging, performance testing (JMeter, Blaze Meter), UI/mobile automation (Selenium, Appium), database/ETL/batch automation, CI/CD tools (Jenkins, Git).
  • Excellent communication, stakeholder management, and collaboration skills.

Preferred Qualifications, Capabilities, and Skills

  • Python programming experience.
  • Exposure to AWS Bedrock, Sagemaker, and LLM model workflows.
  • Familiarity with agentic workflows (Langgraph, Langchain) and MCP servers.
  • Experience with Docker, Kubernetes, or other containerization technologies.
  • Knowledge of cloud monitoring/logging (CloudWatch, ELK stack).
  • Understanding of cloud security best practices.

JPMorgan Chase is an equal opportunity employer, committed to diversity and inclusion. If you are passionate about leading teams, driving innovation, and delivering reliable systems at scale, we invite you to join our Cloud Quality Engineering team and help shape the future of technology at the firm.

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JPMorgan Chase 소개

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

직원 수

New York City

본사 위치

$500B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

3.2

보상

4.1

문화

3.8

커리어

3.0

경영진

2.5

65%

친구에게 추천

장점

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

단점

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

연봉 정보

41개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1개 리포트

$139,000

총 연봉

기본급

$107,000

주식

-

보너스

-

$139,000

$139,000

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 20%

보통 80%

부정 0%

면접 과정

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study